Update app.py

app.py

@@ -29,10 +29,10 @@ def deep_nude_process(inputpath):
 def inference(img):
     global index
     bgra = cv2.cvtColor(img, cv2.COLOR_RGBA2BGRA)
-    inputpath = "input_" + str(index) + ".jpg"
+    inputpath = f"input_{index}.jpg"
     cv2.imwrite(inputpath, bgra)
 
-    outputpath = "out_" + str(index) + ".jpg"
+    outputpath = f"out_{index}.jpg"
     index += 1
     print(time.strftime("START!!!!!!!!! %Y-%m-%d %H:%M:%S", time.localtime()))
     output = mainTest(inputpath, outputpath)
@@ -47,16 +47,11 @@ examples = [
     ['input.jpg', 'Test'],
 ]
 
-def update_image(img):
-    return gr.update(value=inference(img))
+with gr.Blocks() as demo:
+    with gr.Column():
+        image_input = gr.Image(type="numpy", label="Upload Image")
+        process_button = gr.Button("Process Image")
+    
+    process_button.click(inference, inputs=image_input, outputs=image_input)
 
-web = gr.Interface(fn=update_image,
-                   inputs=gr.Image(type="numpy", label="Upload Image"),
-                   outputs=gr.Image(type="numpy", label="Processed Image"),
-                   title=title,
-                   description=description,
-                   examples=examples,
-                   )
-
-if __name__ == '__main__':
-    web.launch()
+demo.launch()